Alternatives and similar repositories for mct-quantization-layers

Users that are interested in mct-quantization-layers are comparing it to the libraries listed below

• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆430Updated last week
• leimao / ONNX-Runtime-Inference
  ONNX Runtime Inference C++ Example
  ☆257Updated 9 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆135Updated last year
• omerferhatt / torch2tflite
  PyTorch to TensorFlow Lite converter
  ☆183Updated last year
• sithu31296 / PyTorch-ONNX-TFLite
  Conversion of PyTorch Models into TFLite
  ☆398Updated 2 years ago
• AlexanderLutsenko / nobuco
  Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
  ☆337Updated 10 months ago
• Arm-Examples / ML-zoo
  ☆248Updated 2 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆150Updated last year
• levipereira / yolov9-qat
  Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.
  ☆129Updated 8 months ago
• zhenhuaw-me / tflite2onnx
  Convert TensorFlow Lite models (*.tflite) to ONNX.
  ☆170Updated 2 years ago
• dnth / yolov5-deepsparse-blogpost
  By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantizati…
  ☆57Updated 2 years ago
• PINTO0309 / simple-onnx-processing-tools
  A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…
  ☆303Updated last year
• prakharg24 / yoloret
  Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'
  ☆103Updated 2 years ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆82Updated 2 years ago
• lisosia / tflite-flops
  Roughly calculate FLOPs of a tflite model
  ☆39Updated 4 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆95Updated last year
• google-ai-edge / ai-edge-quantizer
  AI Edge Quantizer: flexible post training quantization for LiteRT models.
  ☆88Updated this week
• TexasInstruments / edgeai-tensorlab
  Edge AI Model Development Tools
  ☆84Updated 3 months ago
• PINTO0309 / openvino2tensorflow
  This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and…
  ☆345Updated 3 years ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆142Updated 3 years ago
• sefaburakokcu / quantized-yolov5
  Low Precision(quantized) Yolov5
  ☆46Updated 9 months ago
• quic / aimet-model-zoo
  ☆340Updated 2 years ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆434Updated 3 weeks ago
• leimao / PyTorch-Pruning-Example
  PyTorch Pruning Example
  ☆50Updated 3 years ago
• ilpropheta / onnxruntime-demo
  OnnxRuntime in C++ demo content of my talk
  ☆32Updated 4 years ago
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆40Updated 4 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆170Updated last week
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆308Updated this week
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆98Updated last year
• NobuoTsukamoto / tensorrt-examples
  TensorRT Examples (TensorRT, Jetson Nano, Python, C++)
  ☆101Updated 2 years ago